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The AMD Enterprise AI Suite enables enterprises to go from bare metal compute to production-grade AI in minutes by connecting key open-source AI frameworks and Gen AI models with an enterprise-ready Kubernetes platform, minimizing the time from AI experimentation to large scale production on AMD compute platforms.
The Suite is made up of four modular components – each designed to accelerate deployment, strengthen operations, and maximize ROI. The modular design allows customers to adopt the full Suite, or only the components they need:
AMD Solution Blueprints: Provides prebuilt, validated designs for enterprise use cases, enabling faster project timelines, lower engineering costs, and repeatable production-ready solutions for real-world business needs.
AMD Inference Microservices: Provides prebuilt, optimized containers for faster, more efficient deployments on AMD hardware, featuring support for open models and OpenAI-compatible APIs, along with intelligent hardware detection and tuning for maximum performance and cost efficiency.
AMD AI Workbench: Accelerates AI development and collaboration with dynamic workspaces, prebuilt pipelines for fine-tuning foundation models, and inference deployment to streamline the journey from prototype to production.
AMD Resource Manager: Optimizes GPU utilization and cost control with intelligent workload scheduling, quota management, distributed scheduling with Ray integration, and actionable telemetry to enhance throughput, fairness, and capacity planning across teams.
For more information on this cohesive, modular, open-source no-cost platform, visit the AMD Enterprise AI Suite page, the ROCm blog or explore the Enterprise AI Suite developer hub for technical documentation.
Discover more: https://www.amd.com/en/products/software/enterprise-ai-suite.html
For Developers: https://www.amd.com/en/developer/resources/enterprise-ai-suite.html
Documentation: https://enterprise-ai.docs.amd.com/en/latest/
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